Generated by Cython 3.0.5

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Click on a line that starts with a "+" to see the C code that Cython generated for it.

Raw output: clm.c

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 0002: # cython: c_string_encoding=utf8
 0003: 
+0004: import ctypes
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+0005: from functools import singledispatch, partial
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+0006: import math
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+0007: import random
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+0008: import subprocess
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+0009: import tempfile
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+0010: import time
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+0011: import types
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 0012: import cython
 0013: from cython.cimports.cpython.mem import PyMem_Malloc, PyMem_Realloc, PyMem_Free
 0014: from cython cimport view
+0015: import numpy as np
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 0016: cimport numpy as np
+0017: import numpy.typing as npt
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 0018: cimport pysndlib.cclm as cclm
 0019: cimport pysndlib.csndlib as csndlib
+0020: from pysndlib.sndlib import Sample, Header
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+0021: import sys
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+0022: import os
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 0023: 
 0024: 
 0025: 
 0026: 
+0027: np.import_array()
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 0028: 
 0029: 
 0030: 
 0031: # --------------- clm enums ---------------- #
+0032: cpdef enum Interp:
enum __pyx_t_8pysndlib_3clm_Interp {
  __pyx_e_8pysndlib_3clm_NONE,
  __pyx_e_8pysndlib_3clm_LINEAR,
  __pyx_e_8pysndlib_3clm_SINUSOIDAL,
  __pyx_e_8pysndlib_3clm_ALL_PASS,
  __pyx_e_8pysndlib_3clm_LAGRANGE,
  __pyx_e_8pysndlib_3clm_BEZIER,
  __pyx_e_8pysndlib_3clm_HERMITE
};
 0033:     """
 0034:     various interpolation types
 0035:     """
 0036:     NONE, LINEAR,SINUSOIDAL, ALL_PASS, LAGRANGE, BEZIER, HERMITE
 0037: 
+0038: cpdef enum Window:
enum __pyx_t_8pysndlib_3clm_Window {
  __pyx_e_8pysndlib_3clm_RECTANGULAR,
  __pyx_e_8pysndlib_3clm_HANN,
  __pyx_e_8pysndlib_3clm_WELCH,
  __pyx_e_8pysndlib_3clm_PARZEN,
  __pyx_e_8pysndlib_3clm_BARTLETT,
  __pyx_e_8pysndlib_3clm_HAMMING,
  __pyx_e_8pysndlib_3clm_BLACKMAN2,
  __pyx_e_8pysndlib_3clm_BLACKMAN3,
  __pyx_e_8pysndlib_3clm_BLACKMAN4,
  __pyx_e_8pysndlib_3clm_EXPONENTIAL,
  __pyx_e_8pysndlib_3clm_RIEMANN,
  __pyx_e_8pysndlib_3clm_KAISER,
  __pyx_e_8pysndlib_3clm_CAUCHY,
  __pyx_e_8pysndlib_3clm_POISSON,
  __pyx_e_8pysndlib_3clm_GAUSSIAN,
  __pyx_e_8pysndlib_3clm_TUKEY,
  __pyx_e_8pysndlib_3clm_DOLPH_CHEBYSHEV,
  __pyx_e_8pysndlib_3clm_HANN_POISSON,
  __pyx_e_8pysndlib_3clm_CONNES,
  __pyx_e_8pysndlib_3clm_SAMARAKI,
  __pyx_e_8pysndlib_3clm_ULTRASPHERICAL,
  __pyx_e_8pysndlib_3clm_BARTLETT_HANN,
  __pyx_e_8pysndlib_3clm_BOHMAN,
  __pyx_e_8pysndlib_3clm_FLAT_TOP,
  __pyx_e_8pysndlib_3clm_BLACKMAN5,
  __pyx_e_8pysndlib_3clm_BLACKMAN6,
  __pyx_e_8pysndlib_3clm_BLACKMAN7,
  __pyx_e_8pysndlib_3clm_BLACKMAN8,
  __pyx_e_8pysndlib_3clm_BLACKMAN9,
  __pyx_e_8pysndlib_3clm_BLACKMAN10,
  __pyx_e_8pysndlib_3clm_RV2,
  __pyx_e_8pysndlib_3clm_RV3,
  __pyx_e_8pysndlib_3clm_RV4,
  __pyx_e_8pysndlib_3clm_MLT_SINE,
  __pyx_e_8pysndlib_3clm_PAPOULIS,
  __pyx_e_8pysndlib_3clm_DPSS,
  __pyx_e_8pysndlib_3clm_SINC
};
 0039:     """
 0040:     many useful windows
 0041:     """
 0042:     RECTANGULAR, HANN, WELCH, PARZEN, BARTLETT, HAMMING, BLACKMAN2, BLACKMAN3, BLACKMAN4, EXPONENTIAL, RIEMANN, KAISER, CAUCHY, POISSON, GAUSSIAN, TUKEY, DOLPH_CHEBYSHEV, HANN_POISSON, CONNES, SAMARAKI, ULTRASPHERICAL, BARTLETT_HANN, BOHMAN, FLAT_TOP, BLACKMAN5, BLACKMAN6, BLACKMAN7, BLACKMAN8, BLACKMAN9, BLACKMAN10, RV2, RV3, RV4, MLT_SINE, PAPOULIS, DPSS, SINC,
 0043: 
+0044: cpdef enum Spectrum:
enum __pyx_t_8pysndlib_3clm_Spectrum {
  __pyx_e_8pysndlib_3clm_IN_DB,
  __pyx_e_8pysndlib_3clm_NORMALIZED,
  __pyx_e_8pysndlib_3clm_RAW
};
 0045:     """
 0046:     types of normalizations when using the spectrum function. The results are in dB if IN_DB, or linear and normalized to 1.0 NORMALIZED, or linear unnormalized RAW
 0047:     """
 0048:     IN_DB, NORMALIZED, RAW
 0049: 
+0050: cpdef enum Polynomial:
enum __pyx_t_8pysndlib_3clm_Polynomial {
  __pyx_e_8pysndlib_3clm_EITHER_KIND,
  __pyx_e_8pysndlib_3clm_FIRST_KIND,
  __pyx_e_8pysndlib_3clm_SECOND_KIND,
  __pyx_e_8pysndlib_3clm_BOTH_KINDS
};
 0051:     """
 0052:     used for polynomial based gens 
 0053:     """
 0054:     EITHER_KIND, FIRST_KIND, SECOND_KIND, BOTH_KINDS
 0055: 
 0056: 
 0057: 
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+0158: csndlib.mus_error_set_handler(<csndlib.mus_error_handler_t *>clm_error_handler)
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 0159: 
 0160: 
+0161: cdef bint is_simple_filter(gen: mus_any):
static int __pyx_f_8pysndlib_3clm_is_simple_filter(struct __pyx_obj_8pysndlib_3clm_mus_any *__pyx_v_gen) {
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/* … */
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}
+0162:     return cclm.mus_is_one_zero(gen._ptr) or cclm.mus_is_one_pole(gen._ptr) or cclm.mus_is_two_zero(gen._ptr) or cclm.mus_is_two_pole(gen._ptr)
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 0163: 
 0164: 
 0165: # cdef bint is_poly(gen: mus_any):
 0166: #     return cclm.mus_is_polywave(gen._ptr) or cclm.mus_is_polyshape(gen._ptr) 
 0167: 
 0168: # todo add mus_set_xcoeff and mus_set_ycoeff
 0169: 
 0170: # --------------- extension types ---------------- #
 0171: 
+0172: cdef class mus_any:
struct __pyx_obj_8pysndlib_3clm_mus_any {
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  analyze_cb _analyzecallback;
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};
/* … */
struct __pyx_vtabstruct_8pysndlib_3clm_mus_any {
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 0173:     """
 0174:     a wrapper class for mus_any pointers in c
 0175:     
 0176:     instances of this class have the following properties, which may be 
 0177:     used if supported by the type of generator used to make the instance:
 0178:     
 0179:     
 0180:     """
 0181: 
 0182:     cdef cclm.mus_any *_ptr
 0183:     cdef bint ptr_owner
 0184:     cdef cclm.input_cb _inputcallback
 0185:     cdef cclm.edit_cb _editcallback
 0186:     cdef cclm.analyze_cb _analyzecallback
 0187:     cdef cclm.synthesize_cb _synthesizecallback
 0188:     cdef list _cache
 0189:     cdef cclm.mus_float_t* _data_ptr
 0190:     cdef np.ndarray _data
 0191:     cdef cclm.mus_float_t* _xcoeffs_ptr
 0192:     cdef np.ndarray _xcoeffs
 0193:     cdef cclm.mus_float_t* _ycoeffs_ptr
 0194:     cdef np.ndarray _ycoeffs
 0195:     cdef cclm.mus_float_t* _pv_amp_increments_ptr
 0196:     cdef np.ndarray _pv_amp_increments
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 1163:     """
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 1308: 
+1309: cpdef cython.double contrast_enhancement(insig: cython.double, fm_index: cython.double =1.0 ):
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 1994: 
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 2153:     """
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 2163:     """
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 2171: 
 2172: # this is slow because of needing ctypes to define function at runtime
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 2270: 
 2271:     #print(frequency, initial_phase, wave, size, interp_type)
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 2275: 
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+2598: cpdef cython.double pulse_train(gen: mus_any, fm: Optional[float]=None):
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 2599:     """
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+3122:             return mus_any.from_ptr(cclm.mus_make_two_pole(kwargs.get('a0'), kwargs.get('b1'), kwargs.get('b2')))
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 3129:         else:
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+3132: cpdef cython.double two_pole(gen: mus_any, insig: float):
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 3133:     """
 3134:     two pole filter of input.
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 4225:     """
 4226:     next sample from asymmetric fm generator.  
 4227:        
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 4229:     :param index: fm index
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 4303: 
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 4697:     """
 4698:     next sample from granular synthesis generator.
 4699:     
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 4701:     :rtype: float
 4702:     
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 4722:                         overlap: Optional[int]=4,
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 4728:                         
 4729:     """
 4730:     return a new phase-vocoder generator; input is the input function (it can be set at run-time),
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+5065:         cclm.mus_locsig_set_detour(res._ptr, <cclm.detour_cb>locsig_detour_callback_func)
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 5160:     :param outputfile: output file
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 5162:     :param header_type: header of sample type to use. defaults to clm.header_type
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 5177: 
 5178: 
 5179: #########################################
 5180: # basic file reading/writing to/from nympy arrays
 5181: # note all of this assumes numpy dtype is np.double
 5182: # also assumes shape is (chan, length)
 5183: # a mono file that is 8000 samples long should
 5184: # be a numpy array created with something like
 5185: # arr = np.zeroes((1,8000), dtype=np.double)
 5186: # librosa follows this convention
 5187: #  todo : look at allowing something like np.zeroes((8000), dtype=np.double)
 5188: # to just be treated as mono sound buffer 
 5189: # the python soundfile library does this differently 
 5190: # and would use 
 5191: # arr = np.zeros((8000,1), dtype=np.double))
 5192: # this seems less intuitive to me 
 5193: # very issue to translate with simple np.transpose()
 5194: 
 5195: 
 5196: # cpdef sndinfo(filename):
 5197: #     """returns a dictionary of info about a sound file including write date (data), sample rate (srate),
 5198: #     channels (chans), length in samples (samples), length in second (length), comment (comment), and loop information (loopinfo)"""
 5199: #     date = csndlib.mus_sound_write_date(filename)
 5200: #     srate = csndlib.mus_sound_srate(filename)
 5201: #     chans = csndlib.mus_sound_chans(filename)
 5202: #     samples = csndlib.mus_sound_samples(filename)
 5203: #     comment = csndlib.mus_sound_comment(filename) 
 5204: #     length = samples / (chans * srate)
 5205: # 
 5206: #     header_type = header(mus_sound_header_type(filename))
 5207: #     sample_type = sample(mus_sound_sample_type(filename))
 5208: #     
 5209: #     loop_info = mus_sound_loop_info(filename)
 5210: #     if loop_info:
 5211: #         loop_modes = [loop_info[6], loop_info[7]]
 5212: #         loop_starts = [loop_info[0], loop_info[2]]
 5213: #         loop_ends = [loop_info[1], loop_info[3]]
 5214: #         base_note = loop_info[4]
 5215: #         base_detune = loop_info[5]
 5216: #     
 5217: #         loop_info = {'sustain_start' : loop_starts[0], 'sustain_end' : loop_ends[0], 
 5218: #                     'release_start' : loop_starts[2], 'release_end' : loop_ends[1],
 5219: #                     'base_note' : base_note, 'base_detune' : base_detune, 
 5220: #                     'sustain_mode' : loop_modes[0], 'release_mode' : loop_modes[1]}
 5221: #     
 5222: #     info = {'date' : time.localtime(date), 'srate' : srate, 'chans' : chans, 'samples' : samples,
 5223: #             'comment' : comment, 'length' : length, 'header_type' : header_type, 'sample_type' : sample_type,
 5224: #             'loop_info' : loop_info}
 5225: #     return info
 5226: 
 5227: # def sound_loop_info(filename):
 5228: #     """returns a dictionary of info about a sound file including write date (data), sample rate (srate),
 5229: #     channels (chans), length in samples (samples), length in second (length), comment (comment), and loop information (loopinfo)"""
 5230: #     
 5231: #     loop_info = sndlib.mus_sound_loop_info(filename)
 5232: #     if loop_info:
 5233: #         loop_modes = [loop_info[6], loop_info[7]]
 5234: #         loop_starts = [loop_info[0], loop_info[2]]
 5235: #         loop_ends = [loop_info[1], loop_info[3]]
 5236: #         base_note = loop_info[4]
 5237: #         base_detune = loop_info[5]
 5238: #     
 5239: #         loop_info = {'sustain_start' : loop_starts[0], 'sustain_end' : loop_ends[0], 
 5240: #                     'release_start' : loop_starts[2], 'release_end' : loop_ends[1],
 5241: #                     'base_note' : base_note, 'base_detune' : base_detune, 
 5242: #                     'sustain_mode' : loop_modes[0], 'release_mode' : loop_modes[1]}
 5243: #     return info
 5244: #     
 5245: # cpdef np.ndarray file2array(filename: str, channel: Optional[int]=0, beg: Optional[int]=None, dur: Optional[int]=None):
 5246: #     """
 5247: #     return an ndarray with samples from file
 5248: #     """
 5249: #     length = dur or csndlib.mus_sound_framples(filename)
 5250: #     chans = csndlib.mus_sound_chans(filename)
 5251: #     srate = csndlib.mus_sound_srate(filename)
 5252: #     bg = beg or 0
 5253: #     out = np.zeros(length, dtype=np.double)
 5254: #     
 5255: #     cdef double [:] out_view = None
 5256: #     out_view = out
 5257: # 
 5258: #     csndlib.mus_file_to_array(filename,channel, bg, length, &out_view[0])
 5259: #     return out
 5260: #     
 5261: # def channel2array(filename: str, channel: Optional[int]=0, beg: Optional[int]=None, dur: Optional[int]=None): 
 5262: #     length = dur or mus_sound_framples(filename)
 5263: #     srate = mus_sound_srate(filename)
 5264: #     bg = beg or 0
 5265: #     out = np.zeros((1, length), dtype=np.double)
 5266: #     mus_file_to_array(filename,channel, bg, length, out[0].ctypes.data_as(ctypes.pointer(ctypes.c_double)))
 5267: #     return out
 5268: # 
 5269: # def calc_length(start, dur):
 5270: #     st = seconds2samples(start)
 5271: #     nd = seconds2samples(start+dur)
 5272: #     return st, nd
 5273: # 
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